Elektrika最新文献

{"title":"Analisis Citra Kuning Telur Berbasis Ekstraksi Ciri Statistika Orde Satu untuk Mengenali Jenis Telur Ayam Ras dan Ayam Kampung","authors":"M. Sipan, Rony Kartika Pramuyanti","doi":"10.26623/elektrika.v13i2.4250","DOIUrl":"https://doi.org/10.26623/elektrika.v13i2.4250","url":null,"abstract":"Chicken eggs are one of the most familiar side dishes in Indonesia besides tempeh. High protein and low prices make eggs a favorite side dish for the people of Indonesia. Although almost every day we see egg yolks we often can't tell for sure what chicken egg yolks we see. Based on this, the author tries to study egg yolk imagery based on first-order feature extraction using various features such as variance, skewness, carding, entropy, and mean. Statistical calculations are used based on the pixel values of the original image in this first-order texture calculation with the sole purpose of finding the histogram properties of the image. The results of first-order statistical characteristic calculations were used to differentiate between native and purebred chicken eggs. This study facilitates decision making, especially in the selection of accurate and measurable egg yolks from several types of chicken eggs, thereby minimizing public mistakes in choosing eggs based on egg yolks. The first step that can be done is to determine the data consisting of various types of images of free-range chicken egg yolks. These are free-range chicken eggs and purebred chicken eggs. The image is then segmented by separating the yolk and white, then first-order statistical analysis which later the results of these statistical calculations can be used as a reference in determining the type of egg. The results of the trial resulted in first-order feature extraction statistical values, namely for native chickens, the mean value was 132.743, min 69.5255, max 252.5, standard deviation was 29.922 and variance was 905.882. The average value of statistics was order 1 for native chickens. of mean 137,176, min 48, max 240.2, standard deviation 31,454 and variance of 957.89.","PeriodicalId":31998,"journal":{"name":"Elektrika","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47513823","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pengatur Kecepatan Prototipe Mesin Solenoid 4 Induktor Menggunakan Metode Kontrol Frekuensi","authors":"Yusuf Nurul Hilal, Trias Andromeda, S. Handoko","doi":"10.26623/elektrika.v13i2.4258","DOIUrl":"https://doi.org/10.26623/elektrika.v13i2.4258","url":null,"abstract":"The development of electric vehicles is in rapid progress, especially in terms of the main engine drive. The use of solenoid can be applied as an alternative driving electric vehicles instead of a dc motor as the main driver. In this paper, the prototype solenoid machine is applied by using 4 inductors controlled by an Arduino microcontroller and the solenoid driver based on application of Mosfet L298N. The prototype runs successfully. Based on the experimental results, the greater the frequency value applies to the driver, the faster the solenoid moves. The acceleration occures due to the electromagnetic field which is getting stronger and the field is proportional to the frequency value, so the solenoid movement is faster.","PeriodicalId":31998,"journal":{"name":"Elektrika","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49424085","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analisa Perbandingan Citra Hasil Segmentasi Menggunakan Metode K-Means dan Fuzzy C Means pada Citra Input Terkompresi","authors":"I. A. W. Kusuma, Afriliana Kusumadewi","doi":"10.26623/elektrika.v13i2.3182","DOIUrl":"https://doi.org/10.26623/elektrika.v13i2.3182","url":null,"abstract":"<p><em style=\"text-align: justify; text-indent: 14.2pt;\"><span style=\"font-family: 'Times New Roman',serif; mso-ansi-language: EN;\" lang=\"EN\">In pattern recognition, image processing plays a role in automatically separating objects from the background. In addition, the object will be processed by the pattern classifier. In the medical world, image processing plays a very important role. CT Scan (Computed Tomography) or CAT Scan (Computed Axial Tomography) is an example of an image processing application that can be used to view fragments or cross sections of parts of the human body. Tomography is the process of producing two-dimensional images from three-dimensional film through several one-dimensional scans. Magnetic resonance imaging (MRI) is the image most often used in the field of radiology. MRI images can display the anatomical details of objects clearly in multiple sections (multiplanar) without changing the patient's position. In this study, two methods were compared, namely K-Means and Fuzzy C Means, in a segmentation process with the aim of separating between normal areas or areas with disturbances (lesions). The images used are brain and chest MRI images with a total of 10 MRI images. The image quality of the segmentation results is compared with the quality test using the Variation of Information (VOI) parameters, Global Consistency Error (GCE), MSE (Mean Square Error), PSNR (Peak Signal to Noise Ratio) and segmentation time.</span></em></p><pre style=\"text-align: justify; text-indent: 14.2pt;\"><em><span style=\"font-family: 'Times New Roman',serif; mso-ansi-language: EN;\" lang=\"EN\">In pattern recognition, image processing plays a role in automatically separating objects from the background. In addition, the object will be processed by the pattern classifier. In the medical world, image processing plays a very important role. CT Scan (Computed Tomography) or CAT Scan (Computed Axial Tomography) is an example of an image processing application that can be used to view fragments or cross sections of parts of the human body. Tomography is the process of producing two-dimensional images from three-dimensional film through several one-dimensional scans. Magnetic resonance imaging (MRI) is the image most often used in the field of radiology. MRI images can display the anatomical details of objects clearly in multiple sections (multiplanar) without changing the patient's position. In this study, two methods were compared, namely K-Means and Fuzzy C Means, in a segmentation process with the aim of separating between normal areas or areas with disturbances (lesions). The images used are brain and chest MRI images with a total of 10 MRI images. The image quality of the segmentation results is compared with the quality test using the Variation of Information (VOI) parameters, Global Consistency Error (GCE), MSE (Mean Square Error), PSNR (Peak Signal to Noise Ratio) and segmentation time.</span></em></pre>","PeriodicalId":31998,"journal":{"name":"Elektrika","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45868475","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Rancang Bangun Gelang Locator Pasien Terkonfirmasi Covid-19 dengan Metode Haversine sebagai Pengidentifikasian Pelanggaran Zona Aman Isolasi Mandiri Menggunakan Komunikasi Lora (Long Range)","authors":"Ahmad Afan Maulana, Riza Alfita, Achmad Fiqhi Ibadillah","doi":"10.26623/elektrika.v13i2.3669","DOIUrl":"https://doi.org/10.26623/elektrika.v13i2.3669","url":null,"abstract":"Positive cases of COVID-19 continue to grow rapidly. This prompted the government to make new rules in the form of various types of health protocols. One of them is the implementation of the self-isolation protocol for confirmed COVID-19 patients. Self-isolation is a rule that requires confirmed patients to stay at home until the specified time limit to break the chain of COVID-19 development. However, it is suggested and as a rule that there are still many ODP and PDP who still violate the rules of self-isolation from the government. The ODP and PDP still roam freely without thinking about the impacts and risks to their surroundings. With the departure of confirmed patients, the risk of developing COVID-19 becomes greater. In this study, a confirmed patient locator bracelet was made that can map the position of the patient based on latitude and longitude. The latitude and longitude data from the bracelet is sent to the gateway by LoRa communication. LoRa communication is also used to minimize the dimensions of the bracelet. In addition to mapping the location of the patients, by applying the Heversine method this system is able to identify when a safe zone violation occurs in the form of a change in the color of the marker. In the future, it is hoped that this system will be able to handle the problem of developing COVID-19 caused by confirmed patients who still violate the self-isolation protocol.","PeriodicalId":31998,"journal":{"name":"Elektrika","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69039366","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prototipe Pengaman Kebakaran Rumah Menggunakan Thermal Camera","authors":"Filmada Ocky Saputra, Ardiawan Bagus Harisa, Z. Arifin","doi":"10.26623/elektrika.v13i2.4034","DOIUrl":"https://doi.org/10.26623/elektrika.v13i2.4034","url":null,"abstract":"80% of cases of building or house fires in Indonesia are caused by electrical short circuits. Currently, there are only MCB and ELCB devices protecting for building electrical installations, but these devices cannot protect the conditions that cause fires. In a short circuit, there will be heating of the short cable or device. In this study, researchers used a thermal camera that can be placed on an electrical panel to be able monitor the temperature of electrical panel which includes cables, MCB, or can be placed on other devices. When the detected object temperature exceeds a predetermined limit, the device will provide a warning in the form of sound and text and can automatically cut off electricity in the building's electricity network. This research produces a prototype of a power grid safety device using a Raspberry Pi that can be applied to buildings and objects that have the potential to emit excess heat that can cause fires. Systems it will be able to monitor, provide warnings and can automatically cut off the electricity network when the temperature of the observed object exceeds the specified limit and has the potential to emit excess heat which can cause a fire.","PeriodicalId":31998,"journal":{"name":"Elektrika","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48933959","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Rancang Bangun Acrylic Engraver and Cutting Machine Menggunakan CNC Milling 3 Axis Berbasis Mikrokontroler","authors":"Iklil Vurqon Choirony, Moh. Hariyanto, M. Ulum, A. Ubaidillah, H. Haryanto, R. Alfita","doi":"10.26623/ELEKTRIKA.V13I1.3071","DOIUrl":"https://doi.org/10.26623/ELEKTRIKA.V13I1.3071","url":null,"abstract":"The purpose of this research is to design and implement an automatic acrylic carving and cutting tool using a microcontroller-based 3-axis CNC machine. Computer Numerical Control (CNC) is a machine technology that is operated automatically to support the demand for a product that has a complex shape and high accuracy. In general, the construction of a 3-axis CNC machine and its working system is synchronization between the computer and its mechanics. This tool has a work process by utilizing the G-Code method as a command on the machine to carry out engraving and cutting automatically. The G-code was obtained from a previously designed image and then converted using the Aspire 9.0 software. Engraving and cutting is done by sending the G-code file to the microcontroller via the Universal G-code Sender software, then the microcontroller sends a signal to drive the motor driver which then drives the stepper motor so that the actuator movement is generated according to the image in the G-code file. Simultaneously the spindle motor will be active to engrave or cut acrylic. In this study, a trial scenario was carried out to determine the precision and accuracy of the tool, namely by engraving and cutting flat shapes such as squares, circles, triangles and segments. The percentage of success generated from this tool is 97,08% to 100%. Furthermore, testing is carried out to make products in the form of engraving writing, logos and calligraphy. Apart from that, we also tested cutting letters and key chains. When the test is carried out, the accuracy level is 1mm. ","PeriodicalId":31998,"journal":{"name":"Elektrika","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46925863","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Perancangan Sistem Kontrol CNC Pengebor PCB Otomatis Berbasis Raspberry PI","authors":"E. Satrio, Koko Joni, K. Wibisono","doi":"10.26623/ELEKTRIKA.V13I1.3125","DOIUrl":"https://doi.org/10.26623/ELEKTRIKA.V13I1.3125","url":null,"abstract":"<p><em>Circuit</em><em> </em><em>Board (PCB) is a micro-board containing</em><em> </em><em>various components</em><em> </em><em>electronics used in an automatic circuit. In PCB drilling is usually done</em><em> </em><em>human</em><em> </em><em>which takes a lot}when the hole in the PCB is getting more and more. And it takes precision when the eye</em><em> </em><em>touches the PCB board which gives rise to friction force and can cause</em><em> </em><em>drilling. The purpose of this research was the development of tools in the form of automated drills using computers with BCNC software as face-to-face CNC movements. The engine is driven with stepper motor and dc motor as spindle. In this BCNC software the drilling process is done by entering the codes in the form of gcode which can later be read by CNC. The coordinates of the holes in the layout that have been created are obtained by converting the layout into codes called gcode. The process is carried out using PCB designer software. Thoroughness testing on all six axes found an error </em><em>1,2</em><em>% with ten attempts each. PID implementation on DC motor obtained constant value Kp = 54,</em><em> </em><em>Ki = 38 and Kd = 0.9. As well as before drilling, the installation of drill bits must be precise so that at the time of spinning, the drill bits do not shake.</em></p>","PeriodicalId":31998,"journal":{"name":"Elektrika","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44545794","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pengenalan Pola Lintasan Berbasis Neural Network Pada Prototype Self-Driving Car","authors":"Leonardo Rudolf Manangka, H. Suprijono, Dedi Nurcipto","doi":"10.26623/elektrika.v12i2.2732","DOIUrl":"https://doi.org/10.26623/elektrika.v12i2.2732","url":null,"abstract":"Self driving cars are an interesting topic to discuss due to the high level of traffic accidents that occur due to human error. Self driving cars are vehicles that can find out about the environment with minimal human intervention. Self driving itself has many development methods such as Light Detection and Ranging (LIDAR), cameras, radars, or a combination of these sensors. This study made a prototype self-driving car using a camera as a sensor and a neural network algorithm for pattern recognition. The pattern recognition in question is the image recognition of the path taken. The data that has been taken will later be converted into a matrix with dimensions of 320x120 according to the image resolution. Then the data will be trained to recognize the path pattern with the proportion of 7: 3 for training accuracy and validation accuracy. The resulting prediction has an accuracy of 76.86% for training accuracy and 75.24% for validation accuracy.","PeriodicalId":31998,"journal":{"name":"Elektrika","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46419630","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Penentuan Kelayakan Tahanan Isolasi Pada Transformator 60 MVA Di Gardu Induk 150 kV Tegal Dengan Menggunakan Indeks Polarisasi, Tangen Delta, Dan Breakdown Voltage","authors":"M. Robbani, Dedi Nugroho, Gunawan Gunawan","doi":"10.26623/elektrika.v12i2.2721","DOIUrl":"https://doi.org/10.26623/elektrika.v12i2.2721","url":null,"abstract":"A power transformer is electrical power equipment that works to transmit power or electrical power from high voltage to low voltage or on the contrary. In the operation of distributing electricity, the transformer can be said to be the heart of transmission and distribution. In this condition, a transformer is expected to operate optimally according to its function.. If the isolation state of the transformer deteriorates, it can have an impact on operating failure and the most fatal of which is that the transformer is damaged which can cause disturbances in the electrical system. To overcome this, it is necessary to analyze the isolation resistance.This study analyzes the isolation resistance on a transformer using the polarization index, tangent delta and oil breakdown voltage methods to determine the quality of the isolation on the transformer. This study took data at the 150 Kv substation Tegal. The data used include polarization index test data, tangent delta data, bottom oil breakdown voltage test data, and OLTC oil. After the data is obtained, then calculations and analyzes are carried out to obtain accurate results.The test results at the 150 Kv substation Tegal showed the polarization index value with the lowest IP of 1.26 in the primary-ground section and the highest IP of 1.97 in the primary-secondary section is still in good condition. The results of the tangent delta test are still in good condition, only in the CHT mode experienced a negative delta tan deterioration of 0.07%. The result of the average oil test is still suitable for use with 69.9 Kv of bottom oil and 53.3 Kv of OLTC oil.","PeriodicalId":31998,"journal":{"name":"Elektrika","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47924479","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analisa Rugi-Rugi Daya Dan Jatuh Tegangan Pada Saluran Transmisi 150 kV GI Pati Bay GI Jekulo Menggunakan ETAP 12.6.0","authors":"B. Anggoro, Sukarno Budi Utomo, Ida Widihastuti","doi":"10.26623/elektrika.v12i2.2828","DOIUrl":"https://doi.org/10.26623/elektrika.v12i2.2828","url":null,"abstract":"In the electric power system, the transmission system is a pathway to transmit electrical energy from the generator to the substation or from the substation to another substation which allows power losses and large voltage drops if the transmission length is relatively far and the overload is very high. affect the reliability of the transmission system. Analysis of power losses and voltage drop on the 150 KV high voltage transmission system at the Pati substation to the Jekulo substation. The analysis was carried out by conducting a survey at the research location then doing manual calculations and calculations using ETAP 12.6.0 software. The research method used was that the researcher collected voltage and current data at 10.00 and 19.00 WIB in one month and the transmission system supporting equipment specifications to be simulated in ETAP 12.6.0 from Pati and Jekulo substations in order to make comparisons between manual calculations and ETAP. 12.6.0.The conclusion of this study is the calculation of power losses manual calculation and simulation of ETAP 12.6.0 has a difference of 2.5% with the value of manual calculation power losses of 685.5 KW and the power losses from The simulation results reached 266.6 KW and the calculation of the presentation of power losses in the transmission line of GI Pati - GI Jekulo reached 6.8% exceeding the service percentage variation limit due to losses according to SPLN No. 72 of 1987 a maximum of 5% at least -10%.","PeriodicalId":31998,"journal":{"name":"Elektrika","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41518608","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}